Verisium SimAI: Machine Learning for Efficient Design Verification

Are you tired of spending hours on tedious tasks like debugging and coverage closure in your design verification process? Do you want to reduce respins and increase productivity? Look no further than Verisium SimAI - an AI-powered platform that utilizes machine learning technology to target coverage holes.

Verisium SimAI is a platform that uses machine learning to build models from regressions run in Xcelium, a simulator. These models can generate new regressions with specific targets, such as soak testing for more efficient testing of the entire design or specific areas and regression efficiency. The platform also includes cousin bug hunting, which uses information from difficult-to-hit failures to expose cousin bugs. The webinar demonstrates how the technology works and how DV engineers can use it to increase productivity and reduce respins. By using machine learning techniques, Verisium SimAI offers the possibility of an order-of-magnitude productivity boost - a game-changer for the industry.

If you missed the webinar, don't worry! Verisium SimAI has pre-recorded a demo that you can watch to see the technology in action. Verisium SimAI can help you tackle design verification challenges and save time and resources.

Don't wait - check it out now.